scholarly journals Simulation based Performance Analysis of Zone Routing Protocol in Manet

2014 ◽  
Vol 88 (4) ◽  
pp. 47-52
Author(s):  
Neha Jain ◽  
Yogesh Chaba
Keyword(s):  
Performance Analysis ◽  
Routing Protocol ◽  
Zone Routing Protocol ◽  
Simulation Based

scholarly journals Simulation-based Evaluation of Mobile Ad Hoc Network Routing Protocols: Ad hoc On-Demand Distance Vector, Fisheye State Routing, and Zone Routing Protocol

2019 ◽  
Vol 3 (2) ◽  
pp. 64-69
Author(s):  
Mohamad T. Sultan ◽  
Khaled N. Yasen ◽  
Ali Q. Saeed
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
On Demand ◽  
Zone Routing Protocol ◽  
Simulation Based ◽  
Distance Vector ◽  
Mobile Ad Hoc

Mobile ad hoc network (MANET) is an infrastructure-less and decentralized network without any physical connections. Nodes are mobile, free to move, and independent of each other which makes routing a difficult task. Hence, a dynamic routing protocol is needed to make MANET reliable and function properly. Several routing protocols have been proposed with different working mechanisms and performance levels. Therefore, the performance study of those protocols is needed. This paper evaluates the performance of MANET routing protocols using simulation based experiments to observe the behavior of the network as the density of the nodes increases. The paper evaluates the performance of proactive (fisheye state routing), reactive (ad hoc on-demand distance vector), and hybrid (zone routing protocol) routing protocols in terms of the packet delivery fraction, average throughput, and average end-to-end delay. The simulations of protocols to analyze their performance in different conditions were performed using the network simulator 2 (NS 2).

scholarly journals Performance Assessment of Routing Protocols in Ad Hoc Network with Impression of Ad Hoc Cloud and Internet of Things

2019 ◽  
Vol 8 (6) ◽  
pp. 1084-1091
Keyword(s):  
Performance Analysis ◽  
Internet Of Things ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Critical Issue ◽  
Performance Parameters ◽  
Simulation Based ◽  
Effective Performance

Ad hoc network is a decentralized network in which organization of network, message transmission and delivery is executed with nodes themselves. Routing is a critical issue that determines the performance of the network. This paper is a multifold, impression, study, and simulation based paper. At first impersonation of Ad hoc, Cloud, Ad hoc cloud and Internet of Things (IoT) is done. Then a study is done to identify the most important and effective performance parameters, metrics, factors and issues of Ad hoc network. In the last part the routing protocol named AODV, DSR, TORA, OLSR and GRP are simulated, implemented and then performance analysis of these protocols are done considering important parameters that are identified in this study.

Catechize Global Optimization through Leading Edge Firefly Based Zone Routing Protocol

2020 ◽  
Vol 13 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Neha Sharma ◽  
Sherin Zafar ◽  
Usha Batra
Keyword(s):  
Global Optimization ◽  
Routing Protocol ◽  
Firefly Algorithm ◽  
Leading Edge ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Zone Routing Protocol ◽  
End To End Delay ◽  
End To End

Background: Zone Routing Protocol is evolving as an efficient hybrid routing protocol with an extremely high potentiality owing to the integration of two radically different schemes, proactive and reactive in such a way that a balance between control overhead and latency is achieved. Its performance is impacted by various network conditions such as zone radius, network size, mobility, etc. Objective: The research work described in this paper focuses on improving the performance of zone routing protocol by reducing the amount of reactive traffic which is primarily responsible for degraded network performance in case of large networks. The usage of route aggregation approach helps in reducing the routing overhead and also help achieve performance optimization. Methods: The performance of proposed protocol is assessed under varying node size and mobility. Further applied is the firefly algorithm which aims to achieve global optimization that is quite difficult to achieve due to non-linearity of functions and multimodality of algorithms. For performance evaluation a set of benchmark functions are being adopted like, packet delivery ratio and end-to-end delay to validate the proposed approach. Results: Simulation results depict better performance of leading edge firefly algorithm when compared to zone routing protocol and route aggregation based zone routing protocol. The proposed leading edge FRA-ZRP approach shows major improvement between ZRP and FRA-ZRP in Packet Delivery Ratio. FRA-ZRP outperforms traditional ZRP and RA-ZRP even in terms of End to End Delay by reducing the delay and gaining a substantial QOS improvement. Conclusion: The achievement of proposed approach can be credited to the formation on zone head and attainment of route from the head hence reduced queuing of data packets due to control packets, by adopting FRA-ZRP approach. The routing optimized zone routing protocol using Route aggregation approach and FRA augments the QoS, which is the most crucial parameter for routing performance enhancement of MANET.

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